AI will give us more productivity and time to feed our children with. The problem is merely allocation, and AI can help with that, too
AUTOMATION
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AI Automation of Knowledge Work: Beyond Current Limitations
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And yet, so many still don't get it, or want to willfully believe AI is a con. Even if it stopped progressing today, it would be able to automate vast swathes of knowledge work. That's that's before we even get to AI progression and how it has the potential to change the https://
x.com/MichaelAArouet
/MichaelAArouet/status/1927305260126683565
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Google secretly used an AI to optimize itself internally
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Google a gardé ça secret pendant des mois.
— VISION IA (@vision_ia) 27 mai 2025
Une IA en interne – nom de code Alpha Evolve – a optimisé ses puces, restructuré ses serveurs et influencé ses décisions stratégiques.
Pas une démo. Une IA déjà déployée, déjà active.
L'IA qui s’auto-améliorent.
Vous réalisez ce que… pic.twitter.com/mIzFHU0pZRGoogle kept this secret for months. An internal AI – codenamed Alpha Evolve – optimized its chips, restructured its servers, and influenced its strategic decisions. Not a demo. An AI already deployed, already active.
The self-improving AI. Do you realize what -
MagicPath.ai: Build Creative Magic with AI Platform
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Go to https://
magicpath.ai and build some magic! Follow @Magicpathai for more updates too. -

LangSmith Prompts Integration with SDLC Workflow Automation
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Integrate LangSmith prompts with your SDLC You can already test, version and collaborate on prompts in LangSmith. Now, with webhook triggers on prompt changes, you can automatically sync prompts to GitHub, external DBs, or kick off CI. Docs: https://
docs.smith.langchain.com/prompt_enginee
ring/tutorials/prompt_commit
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Higher Level APIs for Agent Orchestration Released
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We shipped higher level apis for agent orchestration – MCP compatible, all server-side logic deployable privately.
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Supply Chain Leaders: Combat Decision Fatigue with Tools
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As supply chain leaders, every day brings hundreds of decisions. You don’t have to make each one of them. There are tools to help you through decision fatigue: https://
okt.to/2ZOHJw @mvollmer1 @antgrasso @nicochan33 -

Recursion’s TechBio Revolution: Robots and AI Transform Drug Discovery
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Recently, @StrongReporter, host of the SHIFT podcast, visited Recursion’s Salt Lake City headquarters to get a “peek behind the curtain” at our automated labs in action. She talked with cofounder and CEO @RecursionChris about the recent explosion of TechBio companies, biology’s incredible complexity, the benefits of robots, and what’s required to run an industrialized end-to-end drug discovery company at scale. 🔹 Some highlights: ▪️ On pharma’s TechBio transition “This is a multi-trillion dollar industry. About a decade ago there was a set of 6-10 upstarts that wanted to use things like ML or AI to try and discover medicines better. Today there are probably 400-500 of these companies, most of them still very early stage. Recursion is one of the very few of that original wave of companies.” ▪️ On biology’s complexity “Inside of each of us we have trillions of cells, and inside every one of those cells, we've got about 20,000 genes that are expressing about 400,000 different proteins, and there are trillions of interactions of all of those 400,000 proteins. So it is wildly complex, and that's the problem…Today, 90% of drugs that go into clinical trials fail, and it's not because there aren't really smart scientists working on the problem, it's because they're working against this incredible complexity.” ▪️ On enlisting robots “We envisioned a company where we could use robots to generate massive quantities of data, and we could use machine learning and AI to take all of that data and distill it down to find the patterns that actually tell us how biology works so that we could go from failing 90% of the time in clinical trials to maybe failing 80% of the time. I tell the team ‘If we could go to 80% failure rate, we would be twice as efficient as the industry, and you could theoretically cut the price of medicines in half.’” ▪️ On the lab in action “This facility full of robots and a handful of people is doing the equivalent of my entire PhD's worth of data generation about every 15 minutes… You see all of these different workstations, all of these different lights, little arms moving plates around, and this system is running about 20 hours a day, 7 days a week, 50 weeks a year. It's really more like an advanced manufacturing facility than it is like a traditional research lab.” 👉 Listen to the full conversation here: play.prx.org/listen?ge=prx_3…
→ View original post on X — @strongreporter, 2025-05-27 13:23 UTC
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Satya Nadella: Apps Will Be Replaced by AI Agents
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Vos applications seront bientôt obsolètes. Mon avis ? Il a 100 % raison. On passe d’un monde d'apps à un monde d’IA qui agit pour nous, en langage naturel, sans interface. Dans 2-3 ans, ouvrir une app manuellement semblera archaïque Traduction : Satya Nadella, PDG de
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AI-Researcher: Autonomous System for Scientific Discovery Pipeline
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AI-Researcher: Autonomous Scientific Innovation This paper, from HKU, introduces AI-Researcher, a fully autonomous system that runs the entire research pipeline—yes, from reading papers to writing them. It's the clearest step yet toward AI-led scientific discovery.